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    Home / Central Data Catalog / GEO_1999_RHS_V01_M / variable [F7]
central

Reproductive Health Survey 1999-2000

Georgia, 1999 - 2000
Reference ID
GEO_1999_RHS_V01_M
Producer(s)
Georgian Center for Disease Control (NCDC), Georgian Ministry of Labor
Metadata
DDI/XML JSON
Created on
Apr 25, 2019
Last modified
Apr 25, 2019
Page views
859
  • Study Description
  • Data Description
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  • cover
  • hhcard
  • roster2004
  • section1_3
  • section1_4
  • section1_6
  • section2
  • section3
  • section4_1
  • section4_2
  • section4_3
  • section4_4
  • section4_5
  • section5_1
  • section5_2
  • section6
  • section7_1
  • section7_2
  • section8_1_1
  • section8_1_2
  • section8_1_3
  • section8_1_4a
  • section8_1_4b
  • section8_1_4linear
  • section8_2_1
  • section8_2_2
  • section8_2_3
  • section8_3
  • section8_4
  • section8_5
  • section8_6
  • section9_1
  • section9_2
  • section9_3
  • section9_4
  • section9_5
  • section9_6a
  • section10_1
  • section10_2
  • section10_3
  • section11_1
  • section11_2_1
  • section11_2_2
  • section11_3a
  • section11_3b
  • section12_1
  • section12_2
  • section13_1
  • section13_2
  • section13_3
  • expend04
  • foodexp
  • hhxhous
  • hhxrem
  • hhyagr
  • hhycas
  • hhyhous
  • hhynlab
  • hhyreg
  • hhyrem
  • hhysemp
  • income04
  • occnfexp
  • regnfexp
  • ycas
  • yreg
CSV JSON

q2.1.7 oustanding amount on the bond or loan (bond_owe)

Data file: section2

Overview

Valid: 1377
Invalid: 0
Type: Discrete
Decimal: 0
Range: -
Format:

Questions and instructions

Categories
Value Category
-5 other
-4 missing data
-3 refused to answer
-2 not applicable
-1 do not know
0
1400
3500
4000
5000
6000
9000
10000
14000
15000
18000
22000
25000
30000
34160
35000
36000
39000
40000
45000
48000
50000
53000
55000
56000
60000
65000
65896
67000
70000
74000
75000
76000
80000
90000
95000
96000
100000
105000
107000
110000
120000
128000
135000
138000
139000
140000
149000
150000
155000
158000
160000
170000
200000
220000
260000
270000
300000
360000
420000
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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